1. Image and Video
- Image: is a material reproduction of human perception of vision;
- Three-dimensional natural scene objects include: depth, texture and luminance information;
- Two-dimensional images: texture and luminance information
- Video: Continuous Images
- Video consists of a number of images, including the object's motion information, also known as motion image.
2. Digital video
Digital Video: A digital sampling representation of the natural scene space and time.
- Spatial sampling: Resolution (Resolution)
- Spatial sampling: Frame Rate/sec
3. Spatial sampling
- Two-dimensional digital video image sampling
4. Digital Video System
- Acquisition: Camera, Camera
- Processing: codecs, transmission devices
- Display: Display
5. Human visual system Hvs
- HVS: eyes, nerves, brain
- Hvs Features:
Insensitive to high frequency information
More sensitive to High contrast
More sensitive to luminance information than chroma information
More sensitive to movement information
6. The design of the digital video system should consider the features of Hvs:
- Discard high frequency information, value code low frequency information
- Improving the subjective quality of edge information
- Reduce the resolution of Chroma
- Special handling of areas of interest (region of Interesting,roi)
7. RGB color Space
- Three primary colors: red, green and blue
- Any color can be produced by a certain mixture of three primary colors
- RGB Chroma Space
Made up of RGB three colors
Widely used in bmp,tiff,ppm, etc.
Each chroma ingredient is usually expressed in 8bit [0,255]
8. YUV Color Space
The mainstream encoding and decoding standard compression objects are YUV images
10. Common YUV Image format
- Defines the image format based on the luminance resolution of the YUV image
Format |
Brightness resolution |
Sqcif |
128x96 |
QCIF |
176x144 |
Cif |
352x288 |
4CIF |
704x576 |
Sd |
720x576 |
HD |
1280x720 1920x1080 |
11. Frame and field images
- A frame image consists of two fields--the top field, the bottom field
12. Progressive and interlaced images
- Progressive Image: Two fields of a frame image are obtained at the same time, Ttop=tbot
- Interlaced Image: Two fields of a frame image are obtained at different times, Ttop≠tbot
13. Video Quality evaluation
- Lossy video compression makes codec images different, and it needs a means to evaluate the quality of decoded images.
- Quality Evaluation: Objective quality evaluation, subjective quality evaluation, objective evaluation of video quality based on vision
Objective Quality Evaluation:
- Advantages: quantifiable, repeatable measurement results, simple measurement
- Cons: not fully compliant with the person's supervisor perception
14. Methods of objective evaluation
The method of objective evaluation commonly used:
Video codec: Chapter two digital video